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Measuring Autonomous UAV Surveillance Performance
| Content Provider | CiteSeerX |
|---|---|
| Abstract | ABSTRACT: We describe an approach to evaluating algorithmic and human performance in directing UAV-based surveillance. Its key elements are a decision-theoretic framework for measuring the utility of a surveillance schedule and an evaluation testbed consisting of 243 scenarios covering a welldefined space of possible missions. We apply this approach to two example UAV-based surveillance methods, an algorithms called 2opt and a human-directed approach, then compare them to identify general strengths and weaknesses of each method. UAV-based Surveillance Aerial reconnaissance, surveillance, and other observation tasks have been primary aircraft applications since the early days of powered flight. They remain key activities in domains from military and security operations to land management and scientific research. However, airborne |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Autonomous Uav Surveillance Performance Human Performance Example Uav-based Surveillance Method Human-directed Approach Primary Aircraft Application Welldefined Space Scientific Research Uav-based Surveillance Powered Flight Early Day Uav-based Surveillance Aerial Reconnaissance Key Activity Observation Task General Strength Surveillance Schedule Key Element Decision-theoretic Framework Possible Mission Security Operation |
| Content Type | Text |
| Resource Type | Article |
